Difference between revisions of "Team:Freiburg/Project/irif"

(Created page with " {{Freiburg/CSS}} {{Freiburg/Menubar}} {{Freiburg/wiki_content_start}} <html> <!-- content goes in here --> <div class="content_box"> <h1 class="sectionedit1">The Project:...")
 
(Blanked the page)
 
Line 1: Line 1:
  
{{Freiburg/CSS}}
 
{{Freiburg/Menubar}}
 
 
{{Freiburg/wiki_content_start}}
 
<html>
 
<!-- content goes in here -->
 
<div class="content_box">
 
 
<h1 class="sectionedit1">The Project: imaging Reflectometric Interference (iRIf)</h1>
 
<div class="level1">
 
</div>
 
<!-- EDIT1 SECTION "The Project: imaging Reflectometric Interference (iRIf)" [1-72] -->
 
<h1 class="sectionedit2">What is iRIf?</h1>
 
<div class="level1">
 
<p>
 
<em>Julian</em>
 
</p>
 
<p>
 
Imaging Reflectometric interference (iRIf) is an optical detection technology that can detect and visualize binding processes between biomolecules in real-time. For example the binding of antibodies to their corresponding antigens can be analyzed. The detection method is based on interference of light that is reflected at biolayers. A biolayer in this scenario would for example be antibodies that bind to immobilized antigens which cover the surface of a transparent material (see Figure 1). Adding such an additional biolayer to a surface changes the optical properties (optical thickness), resulting in an increased intensity of the reflected light. The intensity of the reflected light is detected by the CCD sensor of a camera and can be visualized with appropriate software.
 
</p>
 
</div>
 
<!-- EDIT2 SECTION "What is iRIf?" [73-897] -->
 
<h1 class="sectionedit3">Why using iRIf?</h1>
 
<div class="level1">
 
<p>
 
<em>Julian</em>
 
</p>
 
<ul>
 
<li class="level1"><div class="li"> <strong>Labelfree:</strong> Many analyzing approaches to detect binding between molecules are dependent on labelling with a fluorophore or enzyme (ELISA, WB). Since iRIf  is a labelfree optical method no expensive labeling reagents are required.</div>
 
</li>
 
<li class="level1"><div class="li"> <strong>Fast and simultenous:</strong> Within minutes it is possible to screen a complex sample for binding partners on a microarray. This for example enables us to screen a blood sample within 20 minutes for potentially hundreds of different pathogenic antigens or their corresponding antibodies, respectively.</div>
 
</li>
 
<li class="level1"><div class="li"> <strong>Real-time:</strong> With iRIf it is possible to observe binding events during your measurement in real-time!</div>
 
</li>
 
<li class="level1"><div class="li"> <strong>Small samples amounts:</strong> The iRIf detection method is very sensitive and can detect even tiny target molecule concentrations. Therefore, usually only small sample volumes (in µl range) are necessary to get reliable results. Hence, the iRIf detection is mostly coupled with a microfluidic device.</div>
 
</li>
 
</ul>
 
</div>
 
<!-- EDIT3 SECTION "Why using iRIf?" [898-1896] -->
 
<h1 class="sectionedit4">Applications</h1>
 
<div class="level1">
 
<p>
 
<em>Julian</em>
 
</p>
 
<p>
 
As large as the number of specific binding processes is the number of applications for labelfree reflectometric intereference techniques like iRIf. Applications include amongst others: drug discovery (Birkert &amp; Gauglitz, 2001), kinetic interaction studies (Daaboul et al. 2011), food analysis (Rau et al., 2014), biomarker research (Ewald et al., 2015) and (serologic) diagnostics (Nagel et al., 2007). Usually, basis of each application is some kind of biomolecule microarray (often proteins) which are arranged in distinct spots on a transparent glass side. Protein microarrays facilitate high-throughput screening with a small quantity of sample (Lin et al., 2009).
 
</p>
 
</div>
 
<!-- EDIT4 SECTION "Applications" [1897-2606] -->
 
<h1 class="sectionedit5">Our focuses:</h1>
 
<div class="level1">
 
<ul>
 
<li class="level1"><div class="li"> (Serological) diagnostic of infectious diseases</div>
 
</li>
 
</ul>
 
<p>
 
Concerning serological diagnostics iRIf can be used to simultaneously detect potential antibodies for hundreds of diseases from a few drops of blood. For that, one needs to arrange an antigen peptide array (or antibody array) and flood it with the blood of a patient (just like our Dia-Chip works). Different studies show successful detection of pathogenic antigens or the corresponding antibodies within the blood with this technique, e.g. for Tuberculosis (Nagel et al., 2007), Hughes-Syndrom (Bleher et al., 2014), Influenza (Schwarz et al., 2010) or Pox (Proll et al., 2014). Our Dia-chip shows promising results for the detection of Salmonella (Link zum Ergebnis) and Tetanus (Link zum Ergebnis) antibodies within a complex mixture like blood.
 
</p>
 
<ul>
 
<li class="level1"><div class="li"> Determining status of vaccinaton</div>
 
</li>
 
</ul>
 
<p>
 
Another application is to examine wheter the vaccination of a patient is still up to date. Since iRIf measurements allow to quantify the amount of antibodies binding to the antigens, this provides a way of adequately quantifying the current vaccination statuses. Too little antibodies would indicate that a vaccination has to be refreshed (Link vergleich Vaccination before(after measurement).
 
</p>
 
</div>
 
<!-- EDIT5 SECTION "Our focuses:" [2607-3868] -->
 
<h1 class="sectionedit6">What does an iRIf measurement look like?</h1>
 
<div class="level1">
 
<p>
 
<em>Mauri</em>
 
</p>
 
<p>
 
<em>[Video]</em>
 
The video shows an exemplary iRIf measurement. Three different proteins are arranged in 3 distinct spots on the glass slide. One after another, three different antibodies, which bind to the corresponding antigen spot, are flushed over the slide. Upon binding, the optical properties of the spots are changed, resulting in an increased intensity of the reflected light at this location of binding. Using a look-up-table(LUT) the amount of bound protein is visualized by different colors.
 
</p>
 
</div>
 
<!-- EDIT6 SECTION "What does an iRIf measurement look like?" [3869-4438] -->
 
<h1 class="sectionedit7">How it works</h1>
 
<div class="level1">
 
<p>
 
<em>Ricardo</em>
 
</p>
 
<p>
 
Simple Physik → Interferenz
 
Quotientenbild
 
</p>
 
</div>
 
<!-- EDIT7 SECTION "How it works" [4439-4525] -->
 
<h1 class="sectionedit8">Basic iRIf Setup</h1>
 
<div class="level1">
 
<p>
 
<em>Mauri</em>
 
</p>
 
<div class="thumb2 trien" style="width:540px"><div class="thumbinner"><a class="media" href="https://static.igem.org/mediawiki/2015/3/3e/Freiburg_irif_basic_setup.jpg" title="irif_basic_setup.jpg"><img alt="" class="mediabox2" src="https://static.igem.org/mediawiki/2015/3/3e/Freiburg_irif_basic_setup.jpg"/></a><div class="thumbcaption">Illustration of the basic setup of the components needed for an iRIf measurement</div></div></div>
 
<p>
 
Homogenous illumination of the glass slide with monochromatic light source is necessary to archieve good iRIf results. This is best accomplished with a powerful LED light source shining into a lense which is positioned at the distance of one focal length, therefore parallelising the light rays. Since the idea of an iRIf measurement lies in the observation of the minute changes of light intensity of light reflected at the slide, using a sensitive camera with a color depth of 12 bit is advisable. Images in the camera have to be stored lossless, since compression methods such as <acronym title="Joint Photographics Experts Group">JPEG</acronym> or <acronym title="Moving Picture Experts Group">MPEG</acronym> remove subtle changes in the picture, resulting in the removal of the binding signal.
 
Although not mandatory, microfluidic systems are very well suited for use in conjunction with iRIf, since the iRIf measurement device and the microfluidic chamber can be positioned on opposite sites of the glass slide.
 
</p>
 
</div>
 
<!-- EDIT8 SECTION "Basic iRIf Setup" [4526-5580] -->
 
<h1 class="sectionedit9">Building your own device</h1>
 
<div class="level1">
 
<p>
 
Since the physics behind iRIf is well characterized and the parts necessary for building such a device are easily obtainable, we took it on ourselves to build our very own, affordable iRIf device. The results of this endevour, including a detailed manual on how to build your own iRIf device can be found [here].
 
</p>
 
</div>
 
<!-- EDIT9 SECTION "Building your own device" [5581-5932] -->
 
<h1 class="sectionedit10">Physics behind iRIf</h1>
 
<div class="level1">
 
<p>
 
<em>Ricardo</em>
 
</p>
 
</div>
 
<!-- EDIT10 SECTION "Physics behind iRIf" [5933-5980] -->
 
<h1 class="sectionedit11">Legal notice</h1>
 
<div class="level1">
 
<p>
 
Johannes Landgraf (Karlsruhe, DE)  Günther Proll (Denkendorf, DE)  and Florian Pröll (Mannheim, DE) from BIAMETRICS (Link Biametrics) own a patent (US 20120058569 A1) for the iRIf detection method (“Method and device for determining reflection coefficients on filter arrangements having thin layers”).
 
</p>
 
</div>
 
<!-- EDIT11 SECTION "Legal notice" [5981-6317] -->
 
<h1 class="sectionedit12">References</h1>
 
<div class="level1">
 
<p>
 
Birkert &amp; Gaulitz, 2001. Development of an assay for label-free high-throughput screening of thrombin inhibitors by use of reflectometric interference spectroscopy. Anal Bioanal Chem Vol. 372, doi: 10.1007/s00216-001-1196-4
 
</p>
 
<p>
 
Bleher et al., 2014. Development of a new parallelized, optical biosensor platform for label-free detection of autoimmunity-related antibodies. Anal Bioanal Chem Vol. 406, doi: 10.1007/s00216-013-7504-y
 
</p>
 
<p>
 
Daaboul et al., 2011. LED-based Interferometric Reflectance Imaging Sensor for quantitative dynamic monitoring of biomolecular interactions. Biosensors and Bioelectronics Vol. 26, doi: 10.1016/j.bios.2010.09.038
 
</p>
 
<p>
 
Ewald et al., 2015. A multi-analyte biosensor for the simultaneous label-free detection of pathogens and biomarkers in point-of-need animal testing. Anal Bioanal Chem Vol. 407, doi: 10.1007/s00216-015-8562-0
 
</p>
 
<p>
 
Lin et al., 2009. Development of a novel peptide microarray for large-scale epitope mapping of food allergens. Journal of Allergy and Clinical Immunology Vol. 124, doi: 10.1016/j.jaci.2009.05.024
 
</p>
 
<p>
 
Nagel et al., 2007. Direct detection of tuberculosis infection in blood serum using three optical label-free approaches. Sensors and Actuators B Vol. 129, doi: 10.1016/j.snb.2007.10.009
 
</p>
 
<p>
 
Proll et al., 2014. Optical biosensor system for the quick and reliable detection of virus infections – VIROSENS. SPIE Proceedings Vol. 9253, doi: 10.1117/12.2073841
 
</p>
 
<p>
 
Rau et al., 2014. Label-free optical biosensor for detection and quantification of the non-steroidal anti-inflammatory drug diclofenac in milk without any sample pretreatment. Anal Bioanal Chem Vol. 406, doi: 10.1007/s00216-014-7755-2
 
</p>
 
<p>
 
Schwarz et al., 2010. Label-free detection of H1N1 virus for point of care testing. Procedia Engineering Vol. 5, doi: 10.1016/j.proeng.2010.09.256
 
</p>
 
<div class="tags"><span>
 
<a class="wikilink1" href="/igem2015/doku.php?id=tag:info&amp;do=showtag&amp;tag=info" rel="tag" title="tag:info">info</a>
 
</span></div>
 
</div>
 
<!-- EDIT12 SECTION "References" [6318-] -->
 
</div>
 
</html>
 
<!-- content ends here -->
 
{{Freiburg/wiki_content_end}}
 

Latest revision as of 09:42, 18 September 2015